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Bioinformatics
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Article . 2017
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A quantitative model for oxygen uptake and release in a family of hemeproteins

Authors: Juan P. Bustamante; María E. Szretter; Mariela Sued; Marcelo A. Marti; Dario A. Estrin; Leonardo Boechi;

A quantitative model for oxygen uptake and release in a family of hemeproteins

Abstract

Abstract Motivation: Hemeproteins have many diverse functions that largely depend on the rate at which they uptake or release small ligands, like oxygen. These proteins have been extensively studied using either simulations or experiments, albeit only qualitatively and one or two proteins at a time. Results: We present a physical–chemical model, which uses data obtained exclusively from computer simulations, to describe the uptake and release of oxygen in a family of hemeproteins, called truncated hemoglobins (trHbs). Through a rigorous statistical analysis we demonstrate that our model successfully recaptures all the reported experimental oxygen association and dissociation kinetic rate constants, thus allowing us to establish the key factors that determine the rates at which these hemeproteins uptake and release oxygen. We found that internal tunnels as well as the distal site water molecules control ligand uptake, whereas oxygen stabilization by distal site residues controls ligand release. Because these rates largely determine the functions of these hemeproteins, these approaches will also be important tools in characterizing the trHbs members with unknown functions. Contact: lboechi@ic.fcen.uba.ar Supplementary information: Supplementary data are available at Bioinformatics online.

Country
Argentina
Keywords

Hemeproteins, Oxygen, Association And Dissociation Kinetic Rate Constants, Kinetics, https://purl.org/becyt/ford/1.6, Truncated Hemoglobins, Uptake And Release Oxygen, https://purl.org/becyt/ford/1, Ligands

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Average
Top 10%
Green
gold